Top 10 Big Data Companies in 2024

Companies	Employees	HQ location	Revenue	Website	Industry
Oracle	View 137,397 employees	🇺🇸 United States, Texas, Austin	$ >1000M	oracle.com	Information Technology, Internet Services, Software, Data and Analytics, Hardware, Apps
Hewlett Packard Enterprise	View 154,574 employees	🇺🇸 United States, Texas, Spring	$ >1000M	hpe.com	Hardware, Information Technology, Internet Services, Software, Data and Analytics
EBay	View 1,389 employees	🇺🇸 United States, California, San Jose	$ >1000M	ebay.com	Data and Analytics, Software, Information Technology, Design, Commerce and Shopping, Hardware
Yandex	View 14,434 employees	🇷🇺 Russia, Moskva, Moscow	$ >1000M	yandex.com	Apps, Data and Analytics, Information Technology, Software, Mobile, Platforms, Sales and Marketing, Design
SAS	View 23,106 employees	🇺🇸 United States, North Carolina, Cary	$ 500-1000M	sas.com	Artificial Intelligence, Data and Analytics, Software, Science and Engineering, Information Technology
FactSet	View 10,953 employees	🇺🇸 United States, Connecticut, Norwalk	$ >1000M	factset.com	Data and Analytics, Information Technology, Software, Design, Professional Services
Refinitiv	View 151 employees	🇬🇧 United Kingdom, London	$ 500-1000M	refinitiv.com	Data and Analytics, Information Technology, Design, Financial Services
Insight	View 13,218 employees	🇺🇸 United States, Arizona, Chandler	$ >1000M	insight.com	Information Technology, Professional Services, Data and Analytics, Software
Teradata	View 9,216 employees	🇺🇸 United States, California, San Diego	$ 500-1000M	teradata.com	Data and Analytics, Design, Information Technology, Internet Services, Software, Hardware
EXL	View 29,899 employees	🇺🇸 United States, New Jersey, West New York	$ 500-1000M	exlservice.com	Data and Analytics, Information Technology, Software, Artificial Intelligence, Professional Services, Apps

1. Oracle

Oracle is a renowned leader in the field of big data and enterprise IT solutions, providing a comprehensive array of software and hardware systems designed to help businesses manage, analyze, and use data to gain a competitive edge. With a strong emphasis on database management systems, cloud engineering, and customer relationship management software, Oracle empowers companies across various industries to optimize their operations, enhance decision-making, and innovate at scale. Their integrated solutions support the complexities of big data, ensuring resilience, security, and superior performance in data processing and analytics. Oracle’s commitment to technological advancement makes it a pivotal player in the data-driven global market.

Location 🇺🇸 United States, Texas, Austin	Size View 137,397 employees
Revenue $ >1000M	Industries Information Technology, Internet Services, Software, Data and Analytics, Hardware, Apps
	View Similar Companies

2. Hewlett Packard Enterprise

Hewlett Packard Enterprise (HPE) is a pivotal player in the big data industry, providing cutting-edge technology solutions that empower companies to harness vast quantities of data for insightful decision-making. Through robust servers, storage solutions, and networking gear tailored for big data applications, HPE enables businesses to improve operational efficiency, innovate at scale, and accelerate growth. With a strong emphasis on data security and analytics, HPE is dedicated to helping organizations optimize their data environments to not only manage but also extract valuable insights from their data assets, thus maintaining a competitive edge in the digital landscape.

Location 🇺🇸 United States, Texas, Spring	Size View 154,574 employees
Revenue $ >1000M	Industries Hardware, Information Technology, Internet Services, Software, Data and Analytics
	View Similar Companies

3. EBay

eBay is a global e-commerce giant that leverages big data to enhance user experiences and streamline online transactions. By analyzing vast amounts of data, eBay provides personalized shopping recommendations and optimizes their search and marketing strategies to better serve both buyers and sellers. This focus on harnessing the power of big data ensures that eBay remains at the cutting edge of technological innovation in the online marketplace, continually enhancing efficiency and user engagement.

Location 🇺🇸 United States, California, San Jose	Size View 1,389 employees
Revenue $ >1000M	Industries Data and Analytics, Software, Information Technology, Design, Commerce and Shopping, Hardware
	View Similar Companies

4. Yandex

Yandex is a prominent technology company, widely recognized as Russia’s leading internet search engine. Beyond search, Yandex has made significant inroads into the big data arena, leveraging its vast data pools to develop tailored, efficient solutions for businesses across multiple sectors. This drive towards innovation extends to their AI and machine learning platforms, which optimize data analysis and business processes, enhancing decision-making and strategic planning. Yandex’s expansion into various digital services ensures that it remains at the cutting edge of technology, constantly evolving to meet the needs of a dynamic market.

Location 🇷🇺 Russia, Moskva, Moscow	Size View 14,434 employees
Revenue $ >1000M	Industries Apps, Data and Analytics, Information Technology, Software, Mobile, Platforms, Sales and Marketing, Design
	View Similar Companies

5. SAS

SAS is a renowned leader in the big data industry, providing advanced analytics, business intelligence, data management, and predictive analytics solutions. Their powerful suite of software enables businesses to transform large volumes of complex data into actionable insights, aiding in decision-making processes and strategic planning. SAS’s commitment to innovation and excellence has equipped organizations around the world with the tools necessary to harness the full potential of their data, optimize operations, and achieve competitive advantage in their respective markets.

Location 🇺🇸 United States, North Carolina, Cary	Size View 23,106 employees
Revenue $ 500-1000M	Industries Artificial Intelligence, Data and Analytics, Software, Science and Engineering, Information Technology
	View Similar Companies

6. FactSet

FactSet is a leading provider of integrated financial information and analytical applications for the investment community. Specializing in big data analytics and software solutions, FactSet seamlessly combines comprehensive data sets with robust analytics, helping finance professionals worldwide make informed decisions. Their solutions cater to a broad range of financial professionals, including portfolio managers, investment bankers, and private equity analysts, by providing critical market insights and a competitive edge in a data-driven world. FactSet stands as a pivotal tool in the landscape of financial services and big data analysis, marked by its dedication to innovation and client support.

Location 🇺🇸 United States, Connecticut, Norwalk	Size View 10,953 employees
Revenue $ >1000M	Industries Data and Analytics, Information Technology, Software, Design, Professional Services
	View Similar Companies

7. Refinitiv

Refinitiv is a pioneering leader in providing big data and financial market data solutions to professionals in the financial and risk sectors. With a robust platform that offers real-time data, analytics, and trading infrastructure, Refinitiv supports thousands of institutions worldwide, including investment firms, banks, and government entities. The company delivers comprehensive insights to drive investment decisions, improve compliance, and enhance operational efficiencies. Refinitiv’s commitment to technology and access to vast amounts of financial data sets it apart as a critical resource for financial professionals navigating dynamic markets.

Location 🇬🇧 United Kingdom, London	Size View 151 employees
Revenue $ 500-1000M	Industries Data and Analytics, Information Technology, Design, Financial Services
	View Similar Companies

8. Insight

Insight, a prominent player in the big data industry, offers cutting-edge analytics solutions that help businesses extract meaningful insights from complex data sets. Their advanced tools and services enable companies to improve decision-making, enhance operational efficiency, and discover new market opportunities. Through a combination of innovative technology and deep industry expertise, Insight empowers organizations to leverage the full potential of big data, driving growth and competitive advantage in today’s data-driven world.

Location 🇺🇸 United States, Arizona, Chandler	Size View 13,218 employees
Revenue $ >1000M	Industries Information Technology, Professional Services, Data and Analytics, Software
	View Similar Companies

9. Teradata

Teradata is a prominent player in the big data and analytics industry, offering robust data warehousing and scalable analytics solutions. This company empowers organizations to collect, analyze, and utilize vast amounts of data to inform strategic decision-making and drive business innovation. With its advanced analytics capabilities, Teradata helps businesses unlock complex insights from their data landscapes, enhancing operational efficiency and cultivating a competitive edge in various sectors. By focusing on data integration and actionable intelligence, Teradata is at the forefront of helping firms optimize their performance through superior data management technologies.

Location 🇺🇸 United States, California, San Diego	Size View 9,216 employees
Revenue $ 500-1000M	Industries Data and Analytics, Design, Information Technology, Internet Services, Software, Hardware
	View Similar Companies

10. EXL

EXL is a prominent player in the Big Data industry, providing advanced analytics and data-driven solutions to businesses across various sectors. By leveraging vast amounts of data, EXL helps companies optimize operations, enhance customer experiences, and innovate with new products and services. Their expertise in integrating and analyzing complex datasets enables clients to make informed decisions, streamline processes, and achieve substantial growth in dynamic markets. With a commitment to technological innovation and a deep understanding of industry-specific challenges, EXL empowers organizations to excel in today’s data-centric world.

Location 🇺🇸 United States, New Jersey, West New York	Size View 29,899 employees
Revenue $ 500-1000M	Industries Data and Analytics, Information Technology, Software, Artificial Intelligence, Professional Services, Apps
	View Similar Companies

Want to see more Big Data companies?

Things to Consider When Prospecting into Big Data Companies

Common Pain Points and Challenges for Companies in Big Data

Data Privacy and Security Concerns

As big data becomes more integral to business operations, concerns about data privacy and security are becoming more pressing.

Increasing frequency of data breaches.
Strict regulations like GDPR affecting data handling.
Public concern over privacy.

Sales Insight: Understanding these concerns can help you position your products as secure and compliant solutions. Demonstrating your commitment to security can set you apart from competitors and build trust with your clients.

Integration with Existing Infrastructure

Integrating big data solutions into existing IT infrastructures without causing disruption is a significant challenge for many businesses.

Compatibility issues with old systems.
High costs of integration.
Technical complexities.

Sales Insight: Highlighting the adaptability and ease of integration of your solutions can address these pain points directly. Show how your product enhances existing infrastructures without the need for extensive changes.

Data Silos and Accessibility

Data silos within organizations limit the potential of big data by restricting access and analysis capabilities.

Inefficiencies in data management.
Hindered decision-making due to separated data.
Increased operational costs.

Sales Insight: You can emphasize the capability of your solutions to break down data silos and enhance data fluidity across departments. Explain how this interconnectedness can drive better business decisions and operational efficiency.

Skill Gaps and Talent Acquisition

There’s a significant skill gap in the market when it comes to handling and analyzing big data efficiently.

Shortage of qualified big data professionals.
High training costs.
Difficulty in adapting to rapidly changing technologies.

Sales Insight: Leverage the user-friendly and intuitive aspects of your solutions to appeal to companies facing these issues. Offering comprehensive support and training can be a major selling point.

Handling Real-Time Data

The ability to process and analyze data in real-time is crucial but remains a challenge for many organizations.

Demands for instant data processing.
Challenges in data accuracy and validity.
The need for robust data infrastructure.

Sales Insight: Showcase how your solutions can handle real-time data efficiently. Explain how real-time analytics can help your clients make more informed decisions swiftly, which is key in today’s fast-moving market environments.

Cost Management

The costs associated with storing, processing, and analyzing large volumes of data can be prohibitive for businesses.

High storage costs.
Expensive data management tools.
Significant investment in data security.

Sales Insight: Discuss cost-effective features of your product, such as scalability and efficient data management capabilities. Detail how investing in your solutions can lead to long-term savings and better ROI for your clients.

Start finding new prospects that match your ICP

Key Decision-Makers and Influencers in Big Data

Key Departments

Data Analytics

Insight: This department drives the insights from big data that guide strategic decisions. Professionals here look for advanced analytics tools and platforms that can process large datasets efficiently and provide actionable insights. They value usability, precision, and customizability in their tools.

Research and Development (R&D)

Insight: In big data companies, the R&D team explores new technologies and methodologies to enhance data analysis capabilities. Their purchase criteria are heavily influenced by the potential for innovation, cutting-edge technology, and the ability to gain a competitive edge.

Marketing

Insight: Utilizes big data to understand customer behaviors and market trends. Marketing departments seek tools that provide deep customer insights and enhance target marketing strategies. They look for solutions that offer integration with existing marketing software and real-time data analytics.

Compliance & Risk Management

Insight: Ensures that the company adheres to data protection laws and manages risks associated with data breaches. Solutions that offer enhanced security features, regulatory compliance, and risk assessment tools are crucial for their purchasing decisions.

Sales

Insight: Uses big data to refine sales strategies and improve customer engagement. Sales departments need reliable data analysis tools that can segment customer data effectively and identify potential sales opportunities. They prioritize solutions that can directly impact sales performance and customer satisfaction.

Seniority Level

Vice Presidents (VP) of Data Analytics or IT

Insight: Play a crucial role in how analytics and technology infrastructures are deployed. They look for solutions that can be seamlessly integrated into existing systems and provide actionable insights to drive business improvements.

Directors of IT or Data Management

Insight: In charge of the technical implementation of data solutions. They seek reliable, secure, and compliant tools that align with the specific needs of their teams and can handle large volumes of data efficiently.

Data Scientists and Analytics Managers

Insight: These professionals are hands-on users of big data technologies. Their primary focus is on the functionality and precision of analytical tools, ease of use, and how well these tools help them in predictive analysis and other advanced data tasks.

Not joined surfe yet? Sign up to Surfe today

Buying Processes and Behaviors in Big Data

Emphasis on Scalability

Big Data companies prioritize scalability due to their rapidly evolving data needs.

Data volume growth demands systems that can expand without performance loss.
Scalability ensures that new data integration can be managed efficiently.
Future-proofing their operations is a priority to accommodate advancements in data analytics.

How to leverage: Highlight how your product or service can scale effortlessly with their needs. Emphasize features that aid in managing increased data volumes and showcase successful case studies where your solutions have seamlessly integrated with existing systems, demonstrating reliability and scalability.

Focus on Data Security

Security is paramount in the Big Data industry, as companies manage vast amounts of sensitive information.

The risk of data breaches necessitates high-level security measures.
Regulatory compliance is crucial and varies by industry and region.
Customers and stakeholders demand assurances that data is protected.

How to leverage: Strengthen your pitch by demonstrating comprehensive security features. Provide detailed examples of your product’s compliance with relevant data protection regulations and highlight any third-party security certifications. Offer testimonials or case studies that focus on the robustness of your security measures.

Advanced Analytics Capabilities

Companies in the Big Data industry seek advanced analytics to glean actionable insights from their data.

They require sophisticated tools for predictive and prescriptive analytics.
Real-time data processing capabilities are essential for timely decision-making.
Integration with existing data systems is a critical consideration.

How to leverage: Show how your solutions offer cutting-edge analytics features. Focus on ease of integration with their existing technologies and the ability to provide real-time insights. Demonstrate through examples how your product has enabled other companies to capitalize on their data effectively.

Demand for Customization

Big Data firms often require customized solutions to fit their specific data workflows and structures.

Unique data types and sources necessitate tailored approaches.
Flexibility in adjusting to the company’s evolving data strategies is crucial.
Custom solutions help in achieving optimized operational efficiency.

How to leverage: Tailor your sales messages to reflect the adaptability of your products or services. Discuss customization capabilities and how you’ve successfully implemented personalized solutions in similar scenarios. Highlight the long-term benefits of bespoke solutions, such as enhanced efficiency and greater ROI.

Vendor Reputation and Expertise

Companies in the Big Data sector value established reputations and proven expertise due to the complex nature of their requirements.

Trust is built on a history of delivering effective, reliable solutions.
Expertise in Big Data technologies is a significant persuasion factor.
Vendor stability and market longevity provide reassurance.

How to leverage: Build your credibility by showcasing your expertise and longevity in the industry. Share detailed case studies and white papers that demonstrate your thought leadership and successful projects. Make sure to highlight any awards or recognitions your company has received in the realm of Big Data solutions.

Not joined Surfe yet? Get 20 free credits

Prospecting Tips for Selling to Big Data Companies

Title: Focus on Scalability and Integration

Companies dealing with big data value scalability and the ability to integrate smoothly with existing systems. Point out how your solutions are designed to grow and adapt with their business, ensuring longevity and compatibility.

Tip: Discuss the flexibility of your product, particularly in terms of scaling up or down based on client needs and seamless integration with popular data management platforms.

Title: Stress on Real-Time Data Processing

The ability to process and analyze data in real-time is a crucial aspect for businesses dealing with big data. Illustrate how your technology excels in delivering real-time analytics and the benefits it brings, such as immediate insight generation and faster decision-making processes.

Tip: Detail specific features of your solution that support high-speed data handling and the implications of these capabilities in a fast-paced market.

Title: Ensure Data Security and Compliance

Big Data companies are particularly sensitive about the security and privacy of their data. Convey your commitment to high standards of data security and highlight any compliance certifications your company might hold, such as GDPR or ISO.

Tip: Mention specific security measures and compliance standards that your product meets or exceeds.

Title: Demonstrate Cost Efficiency and ROI

Demonstrate how your solution offers not just superior technology but also cost efficiency and a strong return on investment (ROI). Big Data companies are looking to maximize their investments while reducing overheads.

Tip: Provide calculations or benchmark studies that show how your solutions help reduce costs or increase revenue over time.

Book a demo

33,548

Want to see more Big Data companies?

Things to Consider When Prospecting into Big Data Companies

Common Pain Points and Challenges for Companies in Big Data

Skill Gaps and Talent Acquisition

Handling Real-Time Data

Cost Management

Start finding new prospects that match your ICP

Key Decision-Makers and Influencers in Big Data

Key Departments

Seniority Level

Not joined surfe yet? Sign up to Surfe today

Buying Processes and Behaviors in Big Data

Demand for Customization

Vendor Reputation and Expertise

Not joined Surfe yet? Get 20 free credits

Prospecting Tips for Selling to Big Data Companies

Need prospects?

Top 10 Big Data Companies — a guide for sales

Want to see more Big Data companies?

Things to Consider When Prospecting into Big Data Companies

Common Pain Points and Challenges for Companies in Big Data

Cost Management

Start finding new prospects that match your ICP

Key Decision-Makers and Influencers in Big Data

Key Departments

Seniority Level

Not joined surfe yet? Sign up to Surfe today

Buying Processes and Behaviors in Big Data

Not joined Surfe yet? Get 20 free credits

Prospecting Tips for Selling to Big Data Companies